Models

LightlyTrain supports training models from various libraries. See Supported Libraries for a list of supported libraries and models.

The model is specified in the train command with the model argument:

Python

import lightly_train

if __name__ == "__main__":
    lightly_train.train(
        out="out/my_experiment",
        data="my_data_dir",
        model="torchvision/resnet50",
        method="dino",
    )

Command Line

lightly-train train out="out/my_experiment" data="my_data_dir" model="torchvision/resnet50" method="dino"

Model names always follow the pattern <library name>/<model name>.

Instead of passing a model name, it is also possible to pass a model instance directly to the train function:

Python

import lightly_train
from torchvision.models import resnet50

if __name__ == "__main__":
    model = resnet50()

    lightly_train.train(
        out="out/my_experiment",
        data="my_data_dir",
        model=model,
        method="dino",
    )

List Models

The list_models command lists all available models. Only models from installed packages are listed.

Python

import lightly_train

print(lightly_train.list_models())

Command Line

lightly-train list_models

Supported Libraries

The following libraries are supported:

• Torchvision

• TIMM

• Ultralytics

• RT-DETR

• YOLOv12

• SuperGradients

Torchvision

Supported models

• ResNet

  • torchvision/resnet18

  • torchvision/resnet34

  • torchvision/resnet50

  • torchvision/resnet101

  • torchvision/resnet152

• ConvNext

  • torchvision/convnext_base

  • torchvision/convnext_large

  • torchvision/convnext_small

  • torchvision/convnext_tiny

TIMM

Important

TIMM must be installed with pip install lightly-train[timm].

Supported models

• timm/<model name> (all models are supported, see timm docs for a full list)

Examples

• timm/resnet50

• timm/convnext_base

• timm/vit_base_patch16_224

Ultralytics

Important

Ultralytics must be installed with pip install lightly-train[ultralytics].

Warning

Using Ultralytics models might require a commercial Ultralytics license. See the Ultralytics website for more information.

Note

For YOLOv12, we recommend using the original YOLOv12 package developed by the authors of YOLOv12, since the official Ultralytics implementations are not stable yet.

Models ending with .pt load pre-trained weights by Ultralytics. Models ending with .yaml are not pre-trained.

Supported models

• YOLOv5

  • ultralytics/yolov5l.yaml

  • ultralytics/yolov5l6u.pt

  • ultralytics/yolov5lu.pt

  • ultralytics/yolov5lu.yaml

  • ultralytics/yolov5m.yaml

  • ultralytics/yolov5m6u.pt

  • ultralytics/yolov5mu.pt

  • ultralytics/yolov5mu.yaml

  • ultralytics/yolov5n.yaml

  • ultralytics/yolov5n6u.pt

  • ultralytics/yolov5nu.pt

  • ultralytics/yolov5nu.yaml

  • ultralytics/yolov5s.yaml

  • ultralytics/yolov5s6u.pt

  • ultralytics/yolov5su.pt

  • ultralytics/yolov5su.yaml

  • ultralytics/yolov5x.yaml

  • ultralytics/yolov5x6u.pt

  • ultralytics/yolov5xu.pt

  • ultralytics/yolov5xu.yaml

• YOLOv6

  • ultralytics/yolov6l.yaml

  • ultralytics/yolov6m.yaml

  • ultralytics/yolov6n.yaml

  • ultralytics/yolov6s.yaml

  • ultralytics/yolov6x.yaml

• YOLOv8

  • ultralytics/yolov8l-cls.pt

  • ultralytics/yolov8l-cls.yaml

  • ultralytics/yolov8l-obb.pt

  • ultralytics/yolov8l-obb.yaml

  • ultralytics/yolov8l-oiv7.pt

  • ultralytics/yolov8l-pose.pt

  • ultralytics/yolov8l-pose.yaml

  • ultralytics/yolov8l-seg.pt

  • ultralytics/yolov8l-seg.yaml

  • ultralytics/yolov8l-world.pt

  • ultralytics/yolov8l-world.yaml

  • ultralytics/yolov8l-worldv2.pt

  • ultralytics/yolov8l-worldv2.yaml

  • ultralytics/yolov8l.pt

  • ultralytics/yolov8l.yaml

  • ultralytics/yolov8m-cls.pt

  • ultralytics/yolov8m-cls.yaml

  • ultralytics/yolov8m-obb.pt

  • ultralytics/yolov8m-obb.yaml

  • ultralytics/yolov8m-oiv7.pt

  • ultralytics/yolov8m-pose.pt

  • ultralytics/yolov8m-pose.yaml

  • ultralytics/yolov8m-seg.pt

  • ultralytics/yolov8m-seg.yaml

  • ultralytics/yolov8m-world.pt

  • ultralytics/yolov8m-world.yaml

  • ultralytics/yolov8m-worldv2.pt

  • ultralytics/yolov8m-worldv2.yaml

  • ultralytics/yolov8m.pt

  • ultralytics/yolov8m.yaml

  • ultralytics/yolov8n-cls.pt

  • ultralytics/yolov8n-cls.yaml

  • ultralytics/yolov8n-obb.pt

  • ultralytics/yolov8n-obb.yaml

  • ultralytics/yolov8n-oiv7.pt

  • ultralytics/yolov8n-pose.pt

  • ultralytics/yolov8n-pose.yaml

  • ultralytics/yolov8n-seg.pt

  • ultralytics/yolov8n-seg.yaml

  • ultralytics/yolov8n.pt

  • ultralytics/yolov8n.yaml

  • ultralytics/yolov8s-cls.pt

  • ultralytics/yolov8s-cls.yaml

  • ultralytics/yolov8s-obb.pt

  • ultralytics/yolov8s-obb.yaml

  • ultralytics/yolov8s-oiv7.pt

  • ultralytics/yolov8s-pose.pt

  • ultralytics/yolov8s-pose.yaml

  • ultralytics/yolov8s-seg.pt

  • ultralytics/yolov8s-seg.yaml

  • ultralytics/yolov8s-world.pt

  • ultralytics/yolov8s-world.yaml

  • ultralytics/yolov8s-worldv2.pt

  • ultralytics/yolov8s-worldv2.yaml

  • ultralytics/yolov8s.pt

  • ultralytics/yolov8s.yaml

  • ultralytics/yolov8x-cls.pt

  • ultralytics/yolov8x-cls.yaml

  • ultralytics/yolov8x-obb.pt

  • ultralytics/yolov8x-obb.yaml

  • ultralytics/yolov8x-oiv7.pt

  • ultralytics/yolov8x-pose.pt

  • ultralytics/yolov8x-pose.yaml

  • ultralytics/yolov8x-seg.pt

  • ultralytics/yolov8x-seg.yaml

  • ultralytics/yolov8x-world.pt

  • ultralytics/yolov8x-world.yaml

  • ultralytics/yolov8x-worldv2.pt

  • ultralytics/yolov8x-worldv2.yaml

  • ultralytics/yolov8x.pt

  • ultralytics/yolov8x.yaml

• YOLO11

  • ultralytics/yolo11n-cls.yaml

  • ultralytics/yolo11n-cls.pt

  • ultralytics/yolo11n-obb.yaml

  • ultralytics/yolo11n-obb.pt

  • ultralytics/yolo11n-pose.yaml

  • ultralytics/yolo11n-pose.pt

  • ultralytics/yolo11n-seg.yaml

  • ultralytics/yolo11n-seg.pt

  • ultralytics/yolo11n.yaml

  • ultralytics/yolo11n.pt

  • ultralytics/yolo11s-cls.yaml

  • ultralytics/yolo11s-cls.pt

  • ultralytics/yolo11s-obb.yaml

  • ultralytics/yolo11s-obb.pt

  • ultralytics/yolo11s-pose.yaml

  • ultralytics/yolo11s-pose.pt

  • ultralytics/yolo11s-seg.yaml

  • ultralytics/yolo11s-seg.pt

  • ultralytics/yolo11s.yaml

  • ultralytics/yolo11s.pt

  • ultralytics/yolo11m-cls.yaml

  • ultralytics/yolo11m-cls.pt

  • ultralytics/yolo11m-obb.yaml

  • ultralytics/yolo11m-obb.pt

  • ultralytics/yolo11m-pose.yaml

  • ultralytics/yolo11m-pose.pt

  • ultralytics/yolo11m-seg.yaml

  • ultralytics/yolo11m-seg.pt

  • ultralytics/yolo11m.yaml

  • ultralytics/yolo11m.pt

  • ultralytics/yolo11l-cls.yaml

  • ultralytics/yolo11l-cls.pt

  • ultralytics/yolo11l-obb.yaml

  • ultralytics/yolo11l-obb.pt

  • ultralytics/yolo11l-pose.yaml

  • ultralytics/yolo11l-pose.pt

  • ultralytics/yolo11l-seg.yaml

  • ultralytics/yolo11l-seg.pt

  • ultralytics/yolo11l.yaml

  • ultralytics/yolo11l.pt

  • ultralytics/yolo11x-cls.yaml

  • ultralytics/yolo11x-cls.pt

  • ultralytics/yolo11x-obb.yaml

  • ultralytics/yolo11x-obb.pt

  • ultralytics/yolo11x-pose.yaml

  • ultralytics/yolo11x-pose.pt

  • ultralytics/yolo11x-seg.yaml

  • ultralytics/yolo11x-seg.pt

  • ultralytics/yolo11x.yaml

  • ultralytics/yolo11x.pt

• YOLO12

  • ultralytics/yolo12n-cls.yaml

  • ultralytics/yolo12n-cls.pt

  • ultralytics/yolo12n-obb.yaml

  • ultralytics/yolo12n-obb.pt

  • ultralytics/yolo12n-pose.yaml

  • ultralytics/yolo12n-pose.pt

  • ultralytics/yolo12n-seg.yaml

  • ultralytics/yolo12n-seg.pt

  • ultralytics/yolo12n.yaml

  • ultralytics/yolo12n.pt

  • ultralytics/yolo12s-cls.yaml

  • ultralytics/yolo12s-cls.pt

  • ultralytics/yolo12s-obb.yaml

  • ultralytics/yolo12s-obb.pt

  • ultralytics/yolo12s-pose.yaml

  • ultralytics/yolo12s-pose.pt

  • ultralytics/yolo12s-seg.yaml

  • ultralytics/yolo12s-seg.pt

  • ultralytics/yolo12s.yaml

  • ultralytics/yolo12s.pt

  • ultralytics/yolo12m-cls.yaml

  • ultralytics/yolo12m-cls.pt

  • ultralytics/yolo12m-obb.yaml

  • ultralytics/yolo12m-obb.pt

  • ultralytics/yolo12m-pose.yaml

  • ultralytics/yolo12m-pose.pt

  • ultralytics/yolo12m-seg.yaml

  • ultralytics/yolo12m-seg.pt

  • ultralytics/yolo12m.yaml

  • ultralytics/yolo12m.pt

  • ultralytics/yolo12l-cls.yaml

  • ultralytics/yolo12l-cls.pt

  • ultralytics/yolo12l-obb.yaml

  • ultralytics/yolo12l-obb.pt

  • ultralytics/yolo12l-pose.yaml

  • ultralytics/yolo12l-pose.pt

  • ultralytics/yolo12l-seg.yaml

  • ultralytics/yolo12l-seg.pt

  • ultralytics/yolo12l.yaml

  • ultralytics/yolo12l.pt

  • ultralytics/yolo12x-cls.yaml

  • ultralytics/yolo12x-cls.pt

  • ultralytics/yolo12x-obb.yaml

  • ultralytics/yolo12x-obb.pt

  • ultralytics/yolo12x-pose.yaml

  • ultralytics/yolo12x-pose.pt

  • ultralytics/yolo12x-seg.yaml

  • ultralytics/yolo12x-seg.pt

  • ultralytics/yolo12x.yaml

  • ultralytics/yolo12x.pt

SuperGradients

Important

SuperGradients must be installed with pip install lightly-train[super-gradients].

Warning

SuperGradients support is still experimental. There might be unexpected warnings in the logs.

Supported models

• PP-LiteSeg

  • super_gradients/pp_lite_b_seg

  • super_gradients/pp_lite_b_seg50

  • super_gradients/pp_lite_b_seg75

  • super_gradients/pp_lite_t_seg

  • super_gradients/pp_lite_t_seg50

  • super_gradients/pp_lite_t_seg75

• SSD

  • super_gradients/ssd_lite_mobilenet_v2

  • super_gradients/ssd_mobilenet_v1

• YOLO-NAS

  • super_gradients/yolo_nas_l

  • super_gradients/yolo_nas_m

  • super_gradients/yolo_nas_pose_l

  • super_gradients/yolo_nas_pose_m

  • super_gradients/yolo_nas_pose_n

  • super_gradients/yolo_nas_pose_s

  • super_gradients/yolo_nas_s

Custom Models

See Custom Models for information on how to train custom models.